| name | automated-content-generation |
| description | Template-based content generation, intelligence reports, and multi-language automated content |
| license | CC-BY-4.0 |
Automated Content Generation Skill
🔴 AI FIRST Quality Principle
This skill MUST be applied with the AI FIRST principle: never accept first-pass quality. ALL analysis and content MUST go through minimum 2 complete iterations. After first pass, read ALL output back completely and systematically improve every section — strengthen evidence, deepen analysis, add specific citations, broaden perspectives. Spend ALL allocated time on real work. Single-pass output is NEVER acceptable. NO SHORTCUTS.
Purpose
Expert knowledge in automated content generation using templates, focusing on intelligence reports, news generation, and multi-language content.
Core Principles
- Template-Based - Reusable content templates
- Multi-Language - Support for 14 languages
- Data-Driven - Content generated from structured data
- Quality Assured - Validation before publication
- SEO Optimized - Search engine friendly content
Enforces
- Markdown/HTML template engines
- Multi-language content generation (14 languages)
- Scheduled content generation (daily/weekly)
- Content validation and quality checks
- SEO meta tags and structured data
- RSS feed generation
Content Types
- Intelligence reports
- News summaries
- Data analysis reports
- Multi-language translations
- Newsletter generation
When to Use
- Automated news generation
- Intelligence report creation
- Multi-language content
- Scheduled content updates
- RSS feed generation
References
Version: 1.0 | Last Updated: 2026-02-06 | Category: Development & Operations
🔗 Integration with agentic workflows & analysis artifacts
This skill is consumed by the 11 agentic news workflows in .github/workflows/news-*.md. The authoritative contract lives in .github/prompts/README.md; this skill supplies domain expertise on top of that contract.